{"id":"W2144990603","doi":"10.7202/1013493ar","title":"Accéder au meilleur quartier possible : types de famille et ségrégation résidentielle croisée à Montréal","year":2013,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001038479,0.0004970963,0.0005468866,0.0004928404,0.001921627,0.0003791461,0.0004922522,0.0006890837,0.0009558476],"category_scores_gemma":[0.0004582313,0.0005137467,0.0005081266,0.002062454,0.002332963,0.001154967,0.00008260678,0.0006264134,0.0006671266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007541443,"about_ca_system_score_gemma":0.001054315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4178925,"about_ca_topic_score_gemma":0.2568881,"domain_scores_codex":[0.9957737,0.0007904616,0.0006564382,0.0006499806,0.000709097,0.001420319],"domain_scores_gemma":[0.9975579,0.0005336497,0.0003435227,0.0004633155,0.0004932976,0.0006082582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005731273,0.0004966467,0.1920724,0.0001318813,0.0009254184,0.00003915304,0.2383141,0.0003275734,0.0003115675,0.09690256,0.433531,0.03689036],"study_design_scores_gemma":[0.001863549,0.0003660871,0.2709255,0.000211168,0.0006032101,0.00002719536,0.1660228,0.001858298,0.0003344001,0.03765769,0.5184179,0.001712228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8159629,0.0616408,0.001657588,0.02392597,0.002779082,0.000861985,0.00005041448,0.0002732835,0.09284803],"genre_scores_gemma":[0.8988239,0.01475112,0.0008212745,0.003484138,0.0008407861,0.0002052245,0.00002678966,0.00008082375,0.08096593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610043,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266478699176555,"score_gpt":0.2481209848244023,"score_spread":0.2354561978326368,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}